Pivot

What is a Pivot?

A pivot describes a fundamental strategic change of direction for a company. The term was coined by Eric Ries in the Lean Startup method and describes the moment when a company realizes that the current strategy is not leading to product-market fit—and takes a new direction.

Crucially: A pivot is not a panic reaction, but a data-based decision. The company often retains part of its previous insights (technology, team, customer knowledge) and specifically changes the elements that are not working. A pivot thus differs from a complete restart.

Types of Pivots

Eric Ries identifies various pivot types that relate to different elements of the business model:

• Zoom-in Pivot: A feature of the product becomes a standalone product—often when a secondary feature generates more resonance than the core product.
• Zoom-out Pivot: The product becomes a feature of a larger product—expanding the scope.
• Customer Segment Pivot: The product solves a problem—but for a different target audience than originally intended.
• Customer Need Pivot: The target audience is correct, but the problem solved is different than assumed—based on Jobs-to-be-Done insights.
• Platform Pivot: From an application to a platform or vice versa.
• Business Architecture Pivot: Switching between B2B and B2C, or between high-margin/low-volume and low-margin/high-volume.
• Revenue Model Pivot: Changing the revenue model—e.g., from a one-time sale to a subscription.
• Channel Pivot: Changing the distribution channel—e.g., from direct sales to online or a partner network.
• Technology Pivot: The same solution, but based on a different technology.

When is a Pivot Necessary?

Typical signals that a pivot should be considered:

• No Product-Market Fit: Despite several iterations, customers do not buy or use the product long-term.
• Wrong target audience responds: Different customers than planned show interest—a signal for a customer segment pivot.
• Single feature dominates: Users only use a small part of the product—zoom-in potential.
• Monetization fails: The product is used, but the pricing strategy is not working.
• Market change: Disruptive innovations or new competitors change the rules of the game.
• Burn rate too high: Costs exceed revenue without a visible turnaround.

The build-measure-learn loop provides the data for this decision. A systematic innovation process helps to identify the right time.

Executing a Pivot: Step by Step

1. Analyze data: What is working, what isn’t? Evaluate customer feedback, usage data, and SWOT analysis.
2. Formulate hypothesis: What exactly are we changing—and why do we believe the new direction will work better?
3. Preserve assets: Which insights, technologies, customer relationships, and competencies can we take with us?
4. Design new model: Create a Business Model Canvas and Value Proposition Design for the new direction.
5. Build MVP: Quickly create a new prototype and validate it using the Lean Startup approach.
6. Engage stakeholders: Inform and convince the team, investors, and partners about the change of direction.
7. Iterate: Even after the pivot, the rule remains: measure, learn, adapt.

Well-Known Pivot Examples

• Slack: Started as the gaming company Tiny Speck—the internal communication tool became a billion-dollar product (zoom-in pivot).
• Instagram: Began as the location check-in app Burbn—the photo filter became the core (zoom-in pivot).
• Netflix: From DVD mail-order to streaming—and further to content producer (technology + business architecture pivot).
• Shopify: Started as an online shop for snowboards—the e-commerce software became a platform (platform pivot).
• Twitter: Originated as the podcast platform Odeo—the microblogging service was originally a side project.

These examples show: Successful pivots are based on real market insights, not wishful thinking.

Typical Mistakes When Pivoting

• Waiting too long: Sticking with a strategy that is not working because you have “already invested so much” (sunk cost fallacy)
• Pivoting too quickly: Changing direction before enough data is available—not every negative signal requires a pivot.
• Changing too much: A good pivot specifically changes one element—not everything at once.
• Deciding without data: Pivoting based on gut feeling instead of customer validation.
• Not involving the team: A pivot without team communication leads to uncertainty and turnover.
• Discarding insights: Previous learnings are valuable—a pivot should build upon them.